Stream-based active learning for sliding windows under the influence of verification latency.
Tuan PhamDaniel KottkeGeorg KremplBernhard SickPublished in: Mach. Learn. (2022)
Keyphrases
- sliding window
- active learning
- data streams
- random sampling
- stream data
- streaming data
- fixed size
- limited memory
- closed frequent itemsets
- space efficient
- window size
- response time
- continuous queries
- variable size
- supervised learning
- window sizes
- semi supervised learning
- high speed data streams
- semi supervised
- data sets
- walsh hadamard transform
- itemsets
- learning algorithm